Explicitly requires use of the Vibe Coding platform and heavy daily use of AI-assisted coding tools and prompt engineering.
About the Role
As an AI Engineer at Drytis you will provide direct technical support and AI-driven development assistance to clients on the Vibe Coding platform, combining live pair-programming, debugging, prompt engineering, and client collaboration to complete software projects in real time.
Job Description
Role
As an AI Computer Science Engineer at Drytis you will support clients using the Vibe Coding platform by providing live and asynchronous coding help, debugging, and AI-driven development assistance. The role requires fluid movement between coding, prompt engineering, and direct client interaction while documenting work and contributing feedback for platform improvements.
Key Responsibilities
- Engage with clients in live or asynchronous sessions to provide coding support and project guidance.
- Perform hands-on debugging, refactoring, and completion of application features across front-end, back-end, and production environments.
- Apply advanced prompt engineering and AI development techniques, leveraging AI coding applications and tools to improve client workflows.
- Collaborate via remote, cloud-based development tools and shared workspaces.
- Maintain detailed documentation of client sessions, tasks, and resolutions.
- Contribute to process improvement initiatives and platform optimization feedback loops.
Requirements
- Degree in Computer Science, AI, or a related field, or equivalent practical experience.
- Strong command of Python, JavaScript, or other common programming languages.
- Hands-on experience with prompt engineering, LLMs, and AI-assisted coding tools, with extensive daily use of AI coding applications.
- Proven full-stack application deployment experience (front-end, back-end, and production environments).
- Exceptional English communication skills—verbal and written.
- Strong problem-solving skills and attention to detail in client-facing and production-critical scenarios.
- Familiarity with cloud-based IDEs, version control (e.g., Git), and API integrations.
- UX/UI design and product experience are highly favorable.
- Reliable internet connectivity (access to multiple providers) for uninterrupted client sessions.
- Comfortable working independently in a remote, fast-paced environment.